def prepareScale( npArrScale, options ):
result = [''] * options.resolution
tmpscale = []
for i, date in enumerate(npArrScale):
tmpscale.append(date[0])
# print tmpscale
options.scaleEvery = min(options.scaleEvery, options.resolution )
#########################################################################################
# Methode 2
padding = len(npArrScale)/options.scaleEvery
dayChanged = False
for i, date in enumerate(tmpscale):
# print "i: %d - %s " % (i, date)
if i==0:
result[i] = date.strftime("%m-%d %H:%M")
else:
if date.date() != tmpscale[i-1].date():
# print "change date at index: %d = %s" % (i,date.strftime("%m-%d %H:%M"))
dayChanged = True
if i%padding == 0:
rounded = roundTime(date,options.scaleRound)
if dayChanged:
result[i] = rounded.strftime('%m-%d %H:%M')
else:
result[i] = rounded.strftime('%H:%M')
dayChanged = False
result[-1] = tmpscale[-1].strftime("%m-%d %H:%M")
return result
count_IncomingDelete = 0
count_AddGraphs = 0
count_AddRns = 0
count_UpdateCommands = 0
with open( sourceFile , 'r') as f:
statsReader = csv.reader(f,delimiter=';')
for i,row in enumerate(statsReader):
timestamp = float(row[0])
if startDate < timestamp and timestamp <= endDate :
date = datetime.datetime.fromtimestamp( timestamp )
previousEventDate = eventDate
eventDate = roundTime(date, options.resolution)
# print " %r - %r = %r" % (eventDate, previousEventDate, (eventDate-previousEventDate)
# Get average values of timers for the selected timer resolution
avg_update_tree = ( avg_update_tree + float(row[1])*1000 ) / 2
avg_update_rn = ( avg_update_rn + float(row[2])*1000 ) / 2
avg_update_dependencies = ( avg_update_dependencies + float(row[3])*1000 ) / 2
avg_update_db = ( avg_update_db + float(row[4])*1000 ) / 2
avg_compute_assignment = ( avg_compute_assignment + float(row[5])*1000 ) / 2
avg_send_assignment = ( avg_send_assignment + float(row[6])*1000 ) / 2
avg_release_finishing = ( avg_release_finishing + float(row[7])*1000 ) / 2
avg_time_elapsed = ( avg_time_elapsed + float(row[8])*1000 ) / 2
# Sum number of event for the selected time resolution
count_IncomingRequest += int(row[9])
count_IncomingDelete = 0
count_AddGraphs = 0
count_AddRns = 0
count_UpdateCommands = 0
with open(sourceFile, 'r') as f:
statsReader = csv.reader(f, delimiter=';')
for i, row in enumerate(statsReader):
timestamp = float(row[0])
if startDate < timestamp and timestamp <= endDate:
date = datetime.datetime.fromtimestamp(timestamp)
previousEventDate = eventDate
eventDate = roundTime(date, options.resolution)
# print " %r - %r = %r" % (eventDate, previousEventDate, (eventDate-previousEventDate)
# Get average values of timers for the selected timer resolution
avg_update_tree = (avg_update_tree + float(row[1]) * 1000) / 2
avg_update_rn = (avg_update_rn + float(row[2]) * 1000) / 2
avg_update_dependencies = (avg_update_dependencies +
float(row[3]) * 1000) / 2
avg_update_db = (avg_update_db + float(row[4]) * 1000) / 2
avg_compute_assignment = (avg_compute_assignment +
float(row[5]) * 1000) / 2
avg_send_assignment = (avg_send_assignment +
float(row[6]) * 1000) / 2
avg_release_finishing = (avg_release_finishing +
float(row[7]) * 1000) / 2
